ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
A scalable blind source separation paradigm aimed at sensor networks is described. The approach facilitates an unlimited number of sensors and sources and does not require a fusio...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
This paper combines a parameter generation algorithm and a model optimization approach with the model-integration-based voice conversion (MIVC). We have proposed probabilistic int...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
Clustering is a basic task in a variety of machine learning applications. Partitioning a set of input vectors into compact, wellseparated subsets can be severely affected by the p...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
Local business voice search is a popular application for mobile phones, where hands-free interaction and speed are critical to users. However, speech recognition accuracy is still...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
Simplification of mixture models has recently emerged as an important issue in the field of statistical learning. The heavy computational demands of using large order models dro...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
The method which is called the “tandem approach” in speech recognition has been shown to increase performance by using classifier posterior probabilities as observations in a...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
In this paper, we describe a minimal mean square error (MMSE) optimal interpolation filter for discrete random signals. We explicitly derive the interpolation filter for a firs...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
In order to extrapolate a signal, Empirical Mode Decomposition is used to decompose it into simpler components. Each component is individually extrapolated linearly, and the fina...